AI/ML Engineer

**Role Overview** The **AI/ML Engineer** will be responsible for designing, developing, and deploying AI\-powered applications and intelligent agents leveraging **Large Language Models (LLMs)** and **agentic AI frameworks** . The ideal candidate has a deep understanding of **Python** , **machine learning frameworks** , and **Azure AI services** , with hands\-on experience in building **RAG\-enabled applications** , **LLM\-based automation** , and **AI\-driven analytics** in enterprise or financial environments. You will work collaboratively with cross\-functional teams to integrate AI capabilities into business applications, ensuring scalability, reliability, and innovation. **Scope of Work** **The Selected Candidate Will** * Develop LLM\-powered applications using frameworks such as LangChain, LangGraph, MS Autogen, or similar. * Implement Retrieval\-Augmented Generation (RAG) and Model Context Protocol (MCP) to integrate LLMs with structured and unstructured data sources. * Design and deploy AI agents capable of reasoning, planning, and executing business workflows autonomously. * Build scalable AI/ML applications using Python and modern frameworks (TensorFlow, PyTorch, Scikit\-learn). * Leverage Azure AI/ML services, including Cognitive Services, OpenAI, and Azure Machine Learning for model training and deployment. * Apply ML best practices for model versioning, evaluation, monitoring, and optimization. * Collaborate with business analysts, data engineers, and solution architects to translate functional requirements into AI solutions. * Participate in Agile/Scrum ceremonies, conduct peer reviews, and contribute to architecture discussions. * Document technical designs, data flows, model behavior, and test cases as per enterprise standards. * Provide technical mentorship and knowledge transfer to team members. * Support production deployment, troubleshooting, and continuous model improvement cycles. **Required Skills \& Experience** * 5\+ years of hands\-on experience developing Python\-based AI/ML applications. * 3\+ months of practical experience in agentic AI or LLM\-based application development (LangChain, LangGraph, MS Autogen, or equivalent). * Solid understanding of AI/ML concepts, NLP, model fine\-tuning, and vector databases (FAISS, Pinecone, Chroma, etc.). * Experience with Azure AI/ML, Azure OpenAI, Azure Data Factory, and Cognitive Services. * Proficiency in data processing, cleansing, and feature engineering. * Familiarity with DevOps pipelines, CI/CD for ML (MLOps), and version control (Git/Azure Repos). * Strong collaboration skills and ability to communicate technical concepts to non\-technical stakeholders. * Exposure to the financial domain or compliance\-driven environments is a plus. **Preferred Skills** * Knowledge of prompt engineering, function calling, and multi\-agent orchestration. * Understanding of Azure Synapse, Data Lake, and Power BI integrations. * Hands\-on experience with Docker, Kubernetes, or containerized ML deployments. * Familiarity with LLMOps and AI observability tools (Weights \& Biases, MLflow, LangSmith). * Experience in Agile/SAFe delivery models. **Certifications (Preferred But Not Mandatory)** * Microsoft Certified: Azure AI Engineer Associate (AI\-102\) * Microsoft Certified: Azure Data Scientist Associate (DP\-100\) * Databricks Certified Machine Learning Professional * OpenAI Developer or LangChain Certified Developer (if available) * SAFe Practitioner or Agile Foundation Certification **Educational Qualifications** * Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related discipline. Skills: ai 102,azure ai,rag,ai/ml,python,azure,gen ai,artificial intelligence,adf,llm,machine learning,dp 100,agentic ai,databricks certified,mlops,azure data factory